Abstract: The disclosure relates to methods for determining an endometrial status using a sample, for example, an endometrial biopsy, from a woman, comprising: (a) performing an assay on the endometrial sample from the woman to determine a microRNA (miRNA) expression profile of the endometrial sample, wherein the miRNA expression profile comprises expression levels of a plurality of miRNAs, for example, 167 miRNAs having the sequences of SEQ ID NOs:1-167, respectively; and (b) analyzing the miRNA expression profile to obtain a receptivity predictive score using, for example, a computer-based algorithm. Aspects of the disclosure further relate to kits suitable for performing the methods, as well as uses of the kits for diagnostic and therapeutic purposes.

Abstract: The present disclosure generally relates to systems and methods for evaluating viability of oocytes. In some implementation examples, an image sequence associated with an oocyte being aspirated into a pressure tool is obtained. Based on the image sequence and pressures applied on the oocyte, morphological features and mechanical features associated with the oocyte can be derived. At least some of the features can then be fed into a machine learning model to determine metrics indicative of quality of the oocyte, where a particular metric may be indicative of blastocyst formation. Optionally, the determined oocyte quality information can be presented to a user via an interactive user interface.